====== The "Trans Women Offend Like Men" Myth: Prison Data Manipulation ====== ===== The Transmisic Claims ===== **Claim 1**: "The data seems to say that trans women offend in an identical way to men." **Claim 2**: "Trans women are convicted of sexual offenses at rates of about 1,177 per million—higher than men's 490 per million." **Any claim suggesting**: * Over-representation of trans women in prisons for "sexual offenses" * Trans women are per-capita more likely to commit "sexual offenses" * Trans women pose a greater risk/threat to cisgender people * Based on prison composition statistics or "The Swedish Study" **All of these claims** rely on the same statistical manipulation techniques and misrepresentations of studies and fact, which we'll break down below. ===== What the Prison Data Actually Shows ===== ^ Population ^ Total ^ Sex Offenders ^ Percentage ^ | Trans women prisoners | 129 | 76 | 58.9% | | Cisgender men prisoners | 78,781 | 13,234 | 16.8% | | Cisgender women prisoners | 3,812 | 125 | 3.3% | ===== The Sleight of Hand: Several Tricks in One ===== ==== Trick #1: Comparing Percentages of Wildly Different Groups ==== You're comparing **76 people** to **13,234 people** using percentages. This hides the scale. **The Classroom Analogy** * Classroom A: 129 students, 76 like chocolate = 58.9% * Classroom B: 78,781 students, 13,234 like chocolate = 16.8% Does Classroom A "like chocolate more"? No. Classroom B has **174 times more chocolate lovers**—it just looks smaller as a percentage because the classroom is massive. ==== Trick #2: Ignoring Who Gets Counted ==== Here's what they don't tell you about that "129 trans prisoners" number: **The MoJ only counts trans prisoners who:** * Have had a "case conference" (typically for sentences over 1 year) * Have disclosed their trans status * Don't have a Gender Recognition Certificate (GRC) From the MoJ itself: > "Prisoners serving long sentences are more likely to be managed as a transgender prisoner than those on shorter sentences." **Why this matters**: Sexual offenses carry longer sentences. So you're only counting the subset of trans prisoners most likely to be sex offenders, then treating that as representative of all trans people. **From the BBC article**: > "Trans prisoners on shorter sentences—who won't be in the survey—are less likely to be sex offenders." This is **selection bias**. It's like surveying people at a gym and concluding "most people exercise regularly." ==== Trick #3: The Completely Fabricated "1,177 per Million" ==== This number **appears in no source document**. Let me show you how it was likely manufactured: They took: 76 ÷ 129 = 58.9% Then multiplied by... something? The number is made up. **The actual calculation** (if you wanted to do per-capita, which still has problems): * UK trans population: ~48,000-262,000 (estimates vary) * Trans women sex offenders in prison: 76 * Rate: 76 ÷ 48,000 × 1,000,000 = **1,583 per million** Wait, that's even higher! Except it's **still wrong** because: * That 76 only counts a snapshot of who's in prison right now * It excludes those with GRCs * It's subject to the selection bias above * **Prison composition ≠ offense rates** ==== Trick #4: Misusing the Swedish Study ==== Some also cite a 2011 Swedish study (Dhejne et al.) claiming it shows trans women have "male patterns of criminality." This study: * Only examined 324 people who had full surgical transition * Covered 1973-2003 (decades old) * Found NO difference in the later cohort (1989-2003) * Has been repeatedly misrepresented **See our full article**: [[debunking-swedish-study|The Swedish Study: What It Actually Says]] //Short version: It doesn't support the claims being made, and the author has said so repeatedly.// ===== What Counts as a "Sexual Offense" in UK Law? ===== Before we analyze the numbers, we need to understand what "sexual offense" actually means in UK law. **It's an extremely broad category.** ==== The Full Scope of UK Sexual Offenses ==== Under UK law, "sexual offense" includes: **Serious violent offenses:** * Rape and attempted rape * Sexual assault and attempted sexual assault * Child sexual abuse offenses * Indecent assault **Non-violent and non-contact offenses:** * Possession of indecent images * Distribution of indecent images * Making/downloading indecent images * Voyeurism * Exposure/indecent exposure * Outraging public decency **Sex work-related offenses:** * Soliciting for prostitution * Loitering for prostitution * Controlling prostitution * Keeping a brothel * Advertising sexual services **Other sexual offenses:** * Sexual activity in a public toilet * Breach of Sexual Harm Prevention Order * Failure to register as sex offender * Various consent and age-of-consent related charges ==== Why This Matters ==== When someone hears "76 trans women sex offenders," most people picture rapists and child abusers. But that category could include: * Someone convicted of soliciting for sex work * Someone who failed to register an address change as a former offender * Someone caught with downloaded pornography * Someone convicted of public indecency * Someone convicted of rape or sexual assault **These are NOT equivalent crimes**, yet they're lumped together in the statistics. Without a breakdown, we cannot know the distribution. ==== The Sex Work Factor ==== Trans women, particularly trans women of color, are **disproportionately pushed into survival sex work** due to: * Employment discrimination * Housing discrimination * Family rejection * Lack of economic opportunities **Research shows**: * Trans women are far more likely to engage in sex work than cisgender women * Trans women in sex work face higher rates of criminalization * Many "sexual offense" convictions are actually sex work-related charges This means the "sexual offense" statistics may be **inflated by survival crimes**, not violent offenses. Without detailed breakdowns, we cannot determine how much. ==== The Emotional Manipulation ==== Using the term "sexual offense" without breakdown is **loaded language** designed to invoke fear. It's an appeal to emotion that relies on people assuming all "sex offenders" are rapists. **The reality**: The category ranges from rape to soliciting, and treating them as equivalent is intellectually dishonest. **What we know**: The MoJ data tells us 76 trans women prisoners had sexual offense convictions. **What we don't know**: The distribution of those offenses across the wide spectrum of UK sexual offense law. ===== Why Prison Data Can't Tell You Crime Rates ===== **What prison data shows**: Of the prisoners we have right now, here's the breakdown. **What it doesn't show**: How likely people are to commit crimes. **Why? Because you need:** * Total population size (not just prisoners) * Reporting rates * Conviction rates * Sentencing patterns * Who's still in prison vs. who's been released **The absurd example**: "75% of maximum security prisoners are violent offenders, therefore 75% of people are violent." Obviously wrong—but that's the exact error being made. ===== The Per-Capita Problem ===== When population sizes differ by **600+ times**, per-capita rates become meaningless. **Watch what happens**: ^ Group ^ Convictions ^ Population ^ Rate per 10,000 ^ | Trans women | 76 | 48,000 | 15.83 | | Trans women (+6 more) | 82 | 48,000 | 17.08 | | Cisgender men | 13,234 | 29,177,200 | 4.54 | | Cisgender men (+6 more) | 13,240 | 29,177,200 | 4.54 | **Six additional cases**: * Changes trans women rate by **7.9%** * Doesn't even round cisgender men rate This is why per-capita fails with vastly different population sizes. Small absolute changes create huge percentage swings in the smaller group. ===== What IS a Fair Comparison? ===== Ask the right question: **"Who commits these crimes?"** {{ :sex-offense-convictions-by-group.png?600 |}} ^ Group ^ Sex Offenders ^ Percentage of All Sex Offenders ^ | Cisgender men | 13,234 | 99.43% | | Trans women | 76 | 0.57% | | **Total** | **13,310** | **100.00%** | **That's the reality**: 99.43% cisgender men, 0.57% trans women. Now put it in population context: * 76 out of ~59.6 million UK population = **0.000128%** * Or: **1 in 784,000** people ===== The Policy Disaster ===== If you used the manipulated statistics to guide policy, you'd: * Focus resources on 76 people * While ignoring 13,234 people * Because percentages looked scarier This is how over-policing of minorities happens while the majority committing crimes gets ignored. **Note**: Per-capita doesn't show "propensity to commit crimes." It shows **propensity to be convicted**. These are very different things—but that's another discussion. ===== What About Actual Conviction Rates? ===== Using **total convicted individuals** (not just prisoners): * **1.27 trans people per million** have sexual offense convictions * **222 cisgender men per million** have sexual offense convictions Even this comparison has problems (reporting rates, conviction rates), but it's **far more valid** than prison composition data. ===== What Research Actually Shows ===== **Multiple peer-reviewed studies** examining bathroom policies find: * **No increase in sexual assault** in jurisdictions with trans-inclusive bathroom policies * **Trans people are victims** of violence at **twice the rate** of cisgender people (UK data) The original claim: "There are no recorded cases of a trans woman sexually assaulting a woman in a UK public toilet." **Prison data doesn't refute this** because: * Doesn't specify location of offenses * Doesn't distinguish offense types * Can't tell us about bathrooms specifically ===== Summary ===== //"There are lies, damned lies, and statistics."// The claims rest on: * **Comparing percentages of vastly different sized groups** (76 vs 13,234) * **Selection bias** (only counting long-sentence prisoners) * **Fabricated statistics** ("1,177 per million" appears nowhere) * **Confusing prison composition with crime rates** (completely different calculations) * **Misusing per-capita** (doesn't work with 600x population differences) **The reality**: * 99.43% of sexual offense prisoners are cisgender men * 0.57% are trans women * That's 1 in 784,000 people in the UK * Research shows no safety concerns with trans-inclusive policies When statistics are presented without proper context or with misleading comparisons between vastly different group sizes, they distort reality. ===== Sources ===== * Fair Play for Women submission to Parliament (2020) * BBC Reality Check: "How many transgender inmates are there?" (2018) * UK Ministry of Justice FOI data (2019-2020) * Stop Hate UK: Transgender hate crime statistics * American Academy of Pediatrics: Bathroom policy studies * Springer: Safety and privacy research ---- //This article aims to promote evidence-based policy discussion by clarifying common statistical manipulation. Good-faith questions about data interpretation are welcomed; weaponizing statistics to promote fear serves no one.//